HIPIFY

> what would be the point for someone to add ROCm support to various pieces of software which currently require CUDA It isn't just old cards though, CUDA is a point of centralization on a single provider during a time when access to that providers higher end cards isn't even available and that is causing people to look elsewhere. ROCm supports CUDA through the included HIP projects... https://github.com/ROCm/HIP https://github.com/ROCm/HIPCC https://github.com/ROCm/HIPIFY The later will regex replace your CUDA methods with HIP methods. If it is as easy as running hipify on your codebase (or just coding to HIP apis), it certainly makes sense to do so.

That's what https://github.com/ROCm/HIPIFY is (as a part of ROCm)

> CUDA can be translated to HIP using automated tools. Not just automated, but also open source. https://github.com/ROCm-Developer-Tools/HIPIFY

> AMD had a system which had a tool to do conversion a while back but I recall them not supporting it seriously. They are supporting it seriously now. It is being actively developed and improved. https://github.com/ROCm-Developer-Tools/HIPIFY

This is what they are referring to: https://github.com/ROCm-Developer-Tools/HIPIFY

Right. I can't speak to its correctness/completeness as I've only done a quick installation and smoke test of the ROCm/HIP/MIOpen stack, but there's even a tool that automates the translation [1]. [1] https://github.com/ROCm-Developer-Tools/HIPIFY

Looks like there are several projects that implement the CUDA interface for various other compute systems, e.g.: https://github.com/ROCm-Developer-Tools/HIPIFY/blob/master/R... https://github.com/hughperkins/coriander I have zero experience with these, though.

From https://news.ycombinator.com/item?id=32904285 re: AMD ROcm, HIPIFY, : > AMD ROcm supports Pytorch, TensorFlow, MlOpen, rocBLAS on NVIDIA and AMD GPUs: https://rocmdocs.amd.com/en/latest/Deep_learning/Deep-learni... [...] > ROCm-Developer-Tools/HIPIFY https://github.com/ROCm-Developer-Tools/HIPIFY : >> hipify-clang is a clang-based tool for translating CUDA sources into HIP sources. It translates CUDA source into an abstract syntax tree, which is traversed by transformation matchers. After applying all the matchers, the output HIP source is produced. [...] From https://github.com/RadeonOpenCompute/clang-ocl : > RadeonOpenCompute/OpenCL compilation with clang compiler